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  • 标题:Digital Colour Image Compression using Block Truncation Code
  • 本地全文:下载
  • 作者:Dev Prakash Singh ; Dr. Vineeta Saxena Nigam
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:12
  • 页码:17642
  • DOI:10.15680/IJIRCCE.2017.0512065
  • 出版社:S&S Publications
  • 摘要:In the present era of multimedia, the requirement of image/video storage and transmission for videoconferencing, image and video retrieval, video playback, etc. are increasing exponentially. As a result, the need forbetter compression technology is always in demand. Modern applications, in addition to high compression ratio, alsodemand for efficient encoding and decoding processes, so that computational constraint of many real-time applicationsis satisfied.Two widely used spatial domain compression techniques are block truncation coding (BTC) and vectorquantization (VQ). BTC method results in good quality image with high bit-rate, while the VQ is well known for lowbit-rate but produces poor quality images. In further work of this paper is multi-level BTC includes BTC algorithm aswell as vector quantization method for purpose of multi-leveltechnique for gray and color image.
  • 关键词:Block Truncation Code (BTC); PSNR; Block Size; Compression Ratio
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